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Submit Request

submit_request

Ask for a change in plain English: a feature, a bug fix, or a new direction.

Each call carries ONE feature or intent; a multi-feature ask belongs in
separate requests. `text` must be under 16000 characters. Returns
{thread_id, status, next_action, poll_after_seconds, next_step}; next_step
names the re-check of get_request_status after poll_after_seconds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
project_idYes
workflow_profileNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / workflow_profile
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Workflow Profile"
      +}
  2. First observed

TDQS

A3.7/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare this is a non-read-only, non-idempotent, open-world write. The description adds value beyond them: a 16000-character limit on text and a disclosure of the return shape (thread_id, status, next_action, poll_after_seconds, next_step) plus the polling handoff to get_request_status. It doesn't note auth requirements or idempotency nuance, but the added operational detail is meaningful.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the purpose, then the per-call constraint, then the return contract. Three short sentences, each carrying distinct information, with no filler. Slightly dense in the final return-value clause but well organized overall.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a write tool with annotations covering the safety profile and an output schema present, the description is nearly complete: it covers purpose, the one-intent rule, the size limit, and the polling next step. The only gap is the semantics of workflow_profile, which nothing documents.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate, and it only partly does. It clarifies the `text` constraint (<16000 chars) but leaves project_id and especially the optional workflow_profile entirely unexplained. The constraint on text is genuinely useful, but half the parameters remain opaque.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource set: 'Ask for a change... a feature, a bug fix, or a new direction.' An agent immediately understands this is the entry point for submitting work. It references get_request_status as the follow-up, but doesn't explicitly differentiate itself from siblings like refine_request or answer_request.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives a real usage constraint ('Each call carries ONE feature or intent; a multi-feature ask belongs in separate requests'), which helps shape invocation. However, there is no explicit when-to-use vs. when-not-to-use against alternatives such as refine_request, so guidance is implied rather than fully specified.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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